Artificial Intelligence-Based Real-Time Signal Sample and Analysis of Multiperson Dragon Boat Race in Complex Networks by Yu Li, Peihua Liu

“…In this paper, we use the wearable device with a triaxial accelerometer and heart rate sensor builtin to sample the speed signals and heart rate signals of athletes in various stages of men’s 1000m straight race. …”
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Passive Radar-Based Parameter Estimation of Low Earth Orbit Debris Targets by Justin K. A. Henry, Ram M. Narayanan

“…This can be achieved by a passive sensor system, which has the advantage of lower cost without the need to emit signals that constrain the spectrum sharing issues.…”
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Fuzzy Sliding Mode Control of Plate Vibrations by Manu Sharma, S.P. Singh

“…Test plate is instrumented with a piezoelectric sensor patch and a piezoelectric actuator patch. Finite element method is used to obtain mathematical model of the test plate. …”
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Morphological, Morphometric, and Distribution Pattern Characteristics of Optimal Harvest Phase Sago in Forest Area Based on Drone Imagery by Iriansa, Mutmainnah

“…The development of remote sensing systems is considered an important innovation in supporting the optimization of today's food crop production, especially the development of sensor technology that can capture detailed variations in plant information. …”
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A Novel Framework for Interactive Visualization and Analysis of Hyperspectral Image Data by Johannes Jordan, Elli Angelopoulou, Andreas Maier

“…In recent years, the availability of new sensor designs, more powerful processors, and high-capacity storage further opened this imaging modality to a wider array of applications like medical diagnosis, agriculture, and cultural heritage. …”
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TEKNIK ASTOPHOTOGRAFI DALAM PENENTUAN POLA AKHIR SENJA (HILANGNYA MEGA MERAH) SEBAGAI AWAL MASUKNYA WAKTU ISYA DENGAN IMAGE PROCESSING by Arif Septianto

“…Dalam peneitian pengukuran citra langit peneliti menggunakan teknologi drone sebagai sensor image. Data foto yang diambil pada penelitian ini diambil dalam rentang 15 sekon/ capture. …”
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Energy Harvesting from the Stray Electromagnetic Field around the Electrical Power Cable for Smart Grid Applications by Farid Ullah Khan

“…For wireless sensor node (WSN) applications, this paper presents the harvesting of energy from the stray electromagnetic field around an electrical power line. …”
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Enhancing network lifetime in WSNs through coot algorithm-based energy management model by Namita Shinde, Dr. Vinod H․ Patil

“…To improve the performance of Wireless Sensor Networks (WSN), this study offers a novel energy-efficient clustering and routing technique based on the Coot Optimization Algorithm (COA). …”
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A Deep Q-Network-Based Collaborative Control Research for Smart Ammunition Formation by Jian Shen, Benkang Zhang, Qingyu Zhu, Pengyun Chen

“…With the consideration of random factors, such as sensor error and environmental disturbance, the system model cannot be modeled accurately. …”
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Interpolation-Based Modeling Methodology for Efficient Aeroelastic Control of a Folding Wing by Chengyu Yue, Yonghui Zhao

“…The receptance method is applied to derive fixed point controllers, and the effective independence method is adopted and modified for optimal sensor placement in variable configurations, which can avoid solving ill-conditioned feedback gains. …”
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ANALYSIS AND QUALITY CONTROL OF PRESS FIT FOR ARMATURE COMPONENT ASSEMBLY by YOU Bo

“…On the basis of the simulation research mentioned above, the precise press-mounting experiment device was developed and fabricated for the press-mounting work of armature component, in which it included force sensor, the grating ruler and machine vision. The press-mounting experiments were carried out on the device. …”
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Robot Obstacle Avoidance Learning Based on Mixture Models by Huiwen Zhang, Xiaoning Han, Mingliang Fu, Weijia Zhou

“…The main idea is to imitate the obstacle avoidance mechanism of human beings, in which humans learn to make a decision based on the sensor information obtained by interacting with environment. …”
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Changes in solar radiation and snow depths in March. Irkutsk by N.I. Ianchenko

“…Solar radiation measurements were carried out using the Vantage sensor. The results of field measurements of temperature in the snow cover, solar radiation were interpreted and qualitative and quantitative characteristics of changes in the depth of snow cover and solar radiation in March were determined. …”
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Species-level classification of urban trees from WorldView-2 imagery in Debrecen, Hungary: An effective tool for planning a comprehensive green network to reduce dust pollution by Vanda Eva MOLNAR, Edina SIMON, Szilárd SZABÓ

“…Using a multispectral image from the WorldView–2 satellite sensor, we classified six of the most common urban tree species in Debrecen, Hungary. …”
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Graph neural network driven traffic prediction technology:review and challenge by Yi ZHOU, Shuting HU, Wei LI, Nan CHENG, Ning LU, Xuemin(Sherman) SHEN

“…With the rapid development of Internet of things and artificial intelligence technology, accurate analysis and prediction of traffic data have become the primary target of intelligent transportations.In recent years, the method of traffic forecasting has gradually changed from the classical model-driven type to the data-driven type.However, how to effectively analyze the spatial-temporal characteristics of road networks through big data is one of the key issues in the traffic prediction process.Spatiotemporal big data analysis is a powerful tool for the traffic prediction.The traffic network can be modeled as a graph network, while the deep learning method can be extended on the graph network.Utilizing graph neural networks, we can build the spatiotemporal prediction model, and obtain the spatial-temporal correlation between the sensor nodes in road networks effectively by using graph convolution, which can significantly improve the accuracy of traffic prediction models.The traffic forecasting technology driven by graph neural networks was explored, and two kinds of traffic prediction models based on the analysis of deep spatial-temporal characteristics were extracted.The actual cases were analyzed and evaluated to discuss the technical advantages and key challenges of graph neural networks in the traffic prediction.The potential issues of graph neural network driven prediction mechanisms were also excavated.…”
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Detection and simulation of Kermanshah dust storm using HYSPLIT and WRF-chem models by Tooba Alizadeh, Majid Rezaei Banafsheh, Hashem Rostamzadeh, Gholamreza Goodarzi, Hedar Maleki, Hamzeh Alizadeh

“…The spatial distribution of the dust interpreted by the MODIS sensor images is consistent with the spatial distribution of the dust concentration simulated by the WRF-chem model.…”
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Improved Newton Iterative Algorithm for Fractal Art Graphic Design by Huijuan Chen, Xintao Zheng

“…Through the area division method of the system composed of the sensor array, the effective initial value of iterative calculation is selected in the corresponding area for subsequent iterative calculation. …”
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Measurement of the Characteristics of TIDs Using Small and Regional Networks of GPS Receivers during the Campaign of 17–30 July of 2008 by Cesar E. Valladares, Matthew A. Hei

“…This scientific report presents the results of a dedicated experiment that was conducted within the framework of the Low-latitude ionospheric Sensor Network (LISN) observatory to measure the characteristics of medium-scale (hundreds of km) Traveling Ionospheric Disturbances (TIDs) as they transit through the low-latitude ionosphere. …”
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A model of energy dissipation at fatigue crack tip in metals by Oleg Plekhov, Aleksei Vshivkov, Anastasia Iziumova, Balasubramaniam Venkatraman

“…The heat flux from the crack tip caused by plastic deformation localization was measured using the contact heat flux sensor previously developed by the authors. This provides a possibility to find a correlation between energy dissipation and crack propagation rate under fatigue uniaxial loading with constant stress intensity factor and under biaxial loading with constant stress amplitude. …”
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Fault Diagnosis and Detection in Industrial Motor Network Environment Using Knowledge-Level Modelling Technique by Saud Altaf, Muhammad Waseem Soomro, Mirza Sajid Mehmood

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